code: def cycle(loader):
      while True:
          for data in loader:
              yield data
  
file_path: mixture-of-attention/train.py
imports: import gzip
  import random
  import tqdm
  import numpy
  import torch
  from torch.optim import Adam
  from torch.nn import functional
  from torch.utils.data import DataLoader, Dataset
  from mixture_of_attention.transformer import Transformer
  from mixture_of_attention.autoregressive_wrapper import AutoregressiveWrapper
label_desc: Use image node_id 1 for calling a global function with example usage: cycle(loader) without return types